Pinned Repositories
algos
Competitive programming algorithms in C++
chaii---Hindi-and-Tamil-Question-Answering
clm_aux
COL781_Assignment2
Drone Simulation
conformal-language-modeling
Conformal Language Modeling
EXAMS-V
A Multi-discipline Multilingual Multimodal Exam Benchmark
MMMU
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
Multiprocessing-Tesseract-4.0
In an effort to decrease the execution time of the OCR process, a multi-processing script was created using Python's multi-processing module.
RAY-TRACER-COL781_A1_SPRING2022
RayTracer
RL-Maze-Bot-Col864_Assignment2
MDP_and_Q_learning
RocktimJyotiDas's Repositories
RocktimJyotiDas/EXAMS-V
A Multi-discipline Multilingual Multimodal Exam Benchmark
RocktimJyotiDas/RAY-TRACER-COL781_A1_SPRING2022
RayTracer
RocktimJyotiDas/algos
Competitive programming algorithms in C++
RocktimJyotiDas/chaii---Hindi-and-Tamil-Question-Answering
RocktimJyotiDas/clm_aux
RocktimJyotiDas/COL781_Assignment2
Drone Simulation
RocktimJyotiDas/conformal-language-modeling
Conformal Language Modeling
RocktimJyotiDas/MMMU
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
RocktimJyotiDas/Multiprocessing-Tesseract-4.0
In an effort to decrease the execution time of the OCR process, a multi-processing script was created using Python's multi-processing module.
RocktimJyotiDas/RL-Maze-Bot-Col864_Assignment2
MDP_and_Q_learning
RocktimJyotiDas/Rocktim
Website Template
RocktimJyotiDas/RocktimJyotiDas
Config files for my GitHub profile.
RocktimJyotiDas/RocktimJyotiDas.github.io
RocktimJyotiDas.github.io
RocktimJyotiDas/Rule_Based_Wriitten_To_Spoken_Text_Conversion
RocktimJyotiDas/Rule_Based_Written_to_Spoken_Text_Conversion
RocktimJyotiDas/Word-Meaning-Comparator-using-Neural-Models
RocktimJyotiDas/VoxPoser
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
RocktimJyotiDas/wanda
A simple and effective LLM pruning approach.